csyhhu

Awesome-Deep-Neural-Network-Compression

Summary, Code for Deep Neural Network Quantization

MetaQuant

Codes for Accepted Paper : "MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization" in NeurIPS 2019

L-DNQ

Codes for AAAI2019 paper: Deep Neural Network Quantization via Layer-Wise Optimization using Limited Training Data

Co-Prune

Codes for accepted paper "Cooperative Pruning in Cross-Domain Deep Neural Network Compression" in IJCAI 2019.

attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

LeetCodePratice

pytorch-vgg-cifar10

This is the PyTorch implementation of VGG network trained on CIFAR10 dataset

Scarce-Data

Setting and Evaluation Protocol of Scarce Data

transformers

🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.

Awesome-System-for-Machine-Learning

A curated list of research in machine learning system. I also summarize some papers if I think they are really interesting.

bert

TensorFlow code and pre-trained models for BERT

ComiRec

Source code and dataset for KDD 2020 paper "Controllable Multi-Interest Framework for Recommendation"

csyhhu.github.io

My blog

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

generative_agents

Generative Agents: Interactive Simulacra of Human Behavior

google-research

Google Research

learning-to-learn

Learning to Learn in TensorFlow

LeGR

CNN channel pruning, LeGR, MorphNet, AMC. Codebase for paper "LeGR: Filter Pruning via Learned Global Ranking"

llama

Inference code for LLaMA models

Megatron-LM

Ongoing research training transformer models at scale

meta-dataset

A dataset of datasets for learning to learn from few examples

mixup-cifar10

mixup: Beyond Empirical Risk Minimization

pytorch-cifar

95.16% on CIFAR10 with PyTorch

PyTorch-GAN

PyTorch implementations of Generative Adversarial Networks.

pytorch-mobilenet-v2

A PyTorch implementation of MobileNet V2 architecture and pretrained model.

pytorch-tensor-decompositions

PyTorch implementation of [1412.6553] and [1511.06530] tensor decomposition methods for convolutional layers.

s4

Structured state space sequence models

sparsegpt

Code for the paper "SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot".

stanford_alpaca

Code and documentation to train Stanford's Alpaca models, and generate the data.

visdom

A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.